Role Overview We are looking for a highly capable Full Stack Engineer with deep experience in Python and React who is also very comfortable with harness engineering—building the surrounding tooling, automation, testing scaffolding, execution environments, and orchestration layers that allow systems, agents, workflows, and product features to be developed, validated, and run reliably at scale.
This role is ideal for an engineer who can move fluidly between backend services, frontend product development, automation frameworks, integration layers, and developer tooling. You should be equally comfortable shipping user-facing features and building the technical harnesses that make systems testable, observable, repeatable, and production-ready.
Key Responsibilities * Build and maintain full stack applications using Python on the backend and React on the frontend. * Design and implement APIs, services, and orchestration layers for product workflows and internal tools. * Develop harnesses for testing, simulation, validation, execution, and monitoring of complex workflows, agents, or integrations. * Create reusable frameworks for: * workflow execution * automated test runs * sandboxed environments * synthetic data generation * scenario replay * regression validation * Build developer-facing tools to improve engineering velocity, quality, and repeatability. * Integrate external services, APIs, and third-party tools into internal platforms. * Implement logging, tracing, observability, and error-handling across systems. * Collaborate with product, design, and platform stakeholders to turn business needs into scalable technical solutions. * Help define engineering standards for reliability, maintainability, and deployment readiness.
Required Qualifications * Strong hands-on experience building production systems with Python. * Strong hands-on experience building modern frontend applications with React. * Experience designing and consuming REST APIs and/or async service architectures. * Experience with harness engineering, including building tooling for testing, validation, simulation, automation, or execution environments. * Comfortable working across both application code and engineering infrastructure/tooling. * Strong understanding of software design, debugging, and performance optimization. * Experience with databases such as PostgreSQL, MySQL, or similar. * Familiarity with CI/CD pipelines, Git-based workflows, and deployment practices. * Ability to work independently, move quickly, and make sound engineering tradeoffs.
Preferred Qualifications * Experience with workflow orchestration, agent-based systems, or automation pipelines. * Experience with Docker, cloud infrastructure, and containerized environments. * Familiarity with background job systems, queues, and event-driven architectures. * Experience building internal platforms, QA tooling, evaluation frameworks, or developer productivity tools. * Exposure to LLM/AI workflow orchestration, RPA, or test automation systems. * Experience with observability tools, telemetry, and production monitoring.
What Success Looks Like * You can ship polished frontend and backend features end-to-end. * You can build robust harnesses that make systems easier to test, measure, debug, and scale. * You improve both product delivery and engineering leverage. * You help the team move faster by making complex workflows repeatable and reliable.
Ideal Candidate Profile You are not just a feature engineer. You think in systems. You naturally ask: * How do we test this? * How do we simulate this? * How do we validate edge cases? * How do we make this reproducible? * How do we instrument this so we can trust it in production?
You enjoy building the “glue,” scaffolding, and runtime support that turn promising ideas into dependable products.
